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E-book
Author Gupur, Geni

Title Functional analysis methods for reliability models / Geni Gupur
Published Basel : Birkhäuser ; London : [Springer [distributor], 2011

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Description 1 online resource (viii, 277 pages)
Series Pseudo-differential operators, theory and applications ; v. 6
Pseudo-differential operators, theory and applications ; v. 6.
Contents Preface -- C0-Semigroup of Linear Operators and Cauchy Problems -- Statement of the Problems -- The System Consisting of a Reliable Machine, an Unreliable Machine and a Storage Buffer with Finite Capacity -- Transfer Line Consisting of a Reliable Machine, an Unreliable Machine and a Storage Buffer with Infinite Capacity -- Further Research Problems -- Bibliography
Summary The main goal of this book is to introduce readers to functional analysis methods, in particular, time dependent analysis, for reliability models. Understanding the concept of reliability is of key importance - schedule delays, inconvenience, customer dissatisfaction, and loss of prestige and even weakening of national security are common examples of results that are caused by unreliability of systems and individuals. The book begins with an introduction to C0-semigroup theory. Then, after a brief history of reliability theory, methods that study the well-posedness, the asymptotic behaviors of solutions and reliability indices for varied reliability models are presented. Finally, further research problems are explored. Functional Analysis Methods for Reliability Models is an excellent reference for graduate students and researchers in operations research, applied mathematics and systems engineering
Analysis wiskunde
mathematics
functionaalanalyse
functional analysis
operationeel onderzoek
operations research
bedrijfswetenschap
management science
Mathematics (General)
Wiskunde (algemeen)
Notes Print version record
In Springer eBooks
Subject Reliability (Engineering) -- Mathematics
Functional analysis.
Functional analysis
Reliability (Engineering) -- Mathematics
Form Electronic book
ISBN 9783034801010
3034801017